Shape derivative of the Dirichlet energy for a transmission problem
Philippe Lauren\c{c}ot (IMT), Christoph Walker (IFAM)

TL;DR
This paper computes the shape derivative of the Dirichlet energy in a transmission problem with irregular domain boundaries, and applies it to prove the existence of solutions in free boundary electrostatic actuator models.
Contribution
It provides a rigorous computation of the shape derivative for a complex transmission problem with weak regularity and applies it to a novel free boundary problem in electrostatics.
Findings
Shape derivative is well-defined despite domain irregularities.
Application to existence of solutions in free boundary transmission problems.
Addresses challenges from non-smooth interfaces in shape calculus.
Abstract
For a transmission problem in a truncated two-dimensional cylinder located beneath the graph of a function u, the shape derivative of the Dirichlet energy (with respect to u) is shown to be well-defined and is computed. The main difficulties in this context arise from the weak regularity of the domain and the possible non-empty intersection of the graph of u and the transmission interface. The result is applied to establish the existence of a solution to a free boundary transmission problem for an electrostatic actuator.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Stability and Controllability of Differential Equations · Contact Mechanics and Variational Inequalities
Shape derivative of the Dirichlet energy for
a transmission problem
Philippe Laurençot
Institut de Mathématiques de Toulouse, UMR 5219, Université de Toulouse, CNRS
F–31062 Toulouse Cedex 9, France
and
Christoph Walker
Leibniz Universität Hannover
Institut für Angewandte Mathematik
Welfengarten 1
D–30167 Hannover
Germany
Abstract.
For a transmission problem in a truncated two-dimensional cylinder located beneath the graph of a function , the shape derivative of the Dirichlet energy (with respect to ) is shown to be well-defined and is computed in terms of . The main difficulties in this context arise from the weak regularity of the domain and the possibly non-empty intersection of the graph of and the transmission interface. The explicit formula for the shape derivative is then used to identify the partial differential equation solved by the minimizers of an energy functional arising in the modeling of micromechanical systems.
Key words and phrases:
Shape derivative, free boundary problem, transmission problem, obstacle problem, fourth-order equation
2010 Mathematics Subject Classification:
49Q10 - 35J20 - 74G65 - 35R35 - 35Q74
Partially supported by the CNRS Projet International de Coopération Scientifique PICS07710
1. Introduction and Main Results
Given and an open, bounded set , let be the unique variational solution to the Dirichlet problem
[TABLE]
Introducing the Dirichlet integral
[TABLE]
a classical result in shape optimization states that the shape derivative of is given by
[TABLE]
for [12, 22]. When the shape derivative is well-defined, it provides useful information on the Dirichlet energy itself and it is the basis for deriving first-order optimality conditions. However, the integral on the right-hand side of the shape derivative is only meaningful provided has sufficient regularity (typically ), which, in turn, requires sufficient regularity of the source term and the open set , see [12, Corollary 5.3.8] for instance. Source terms with low Sobolev regularity or depending on the admissible shape in a non-smooth way are therefore excluded.
Amongst the simplest situations featuring such a dependence is the differentiability with respect to of the Dirichlet energy
[TABLE]
associated with Laplace’s equation subject to non-homogeneous Dirichlet boundary conditions
[TABLE]
where is a given function in , depending on in general. In that particular case, may be interpreted as the electrostatic potential inside and is the potential applied on . Computing the shape derivative of is then of practical importance, since is the electrostatic force acting on [10, 5, 6]. Introducing , we see that solves (1.1) with and obviously involves the shape derivative of . Summarizing, the shape differentiability of relies on the Sobolev regularity of which is not only governed by that of but also by the smoothness of .
The situation just depicted above is actually met in applications, for example, when considering electrostatic actuators consisting of a rigid electrode above which a moving electrode is suspended, both being held at different potentials [4]. For an idealized device with simplified geometry, the rigid electrode is the set located at vertical height with , , and the shape depends only on the position of the moving electrode, which is assumed to be the graph of a function ranging in . The shape is then given by
[TABLE]
The corresponding electrostatic potential solves Laplace’s equation in with non-homogeneous Dirichlet boundary conditions on , reflecting the potential difference. A possible choice for is
[TABLE]
which corresponds to both electrodes being held at constant potentials and features an explicit dependence on . Incorporating the boundary values into the electrostatic potential by setting , one obtains that solves the Dirichlet problem
[TABLE]
where the regularity of the source term turns out to be two order less than that of [16]; that is, only if , a property obviously satisfied for the choice (1.3). Consequently, application of the above mentioned result to compute the derivative of with respect to requires a priori a sufficiently high regularity of and hence of the shape , which may not be available for the problem under consideration. Indeed, the regularity of the solution to (1.4) is not only controlled by that of , but also limited by the fact that is only a Lipschitz domain, so that one may only expect for in general. This restricted regularity does not seem to be sufficient to give a meaning to the shape derivative of . Nevertheless, for this particular case (and under suitable assumptions) we show in [13, 14] that for with and that has a shape derivative, which is well-defined and given by
[TABLE]
as expected.
Another instance, where a similar difficulty arises, is when the solution to the Dirichlet problem (1.4) is replaced by the solution to a transmission problem, where the boundary of the domain may contact the transmission interface. Such a situation is encountered in the modeling of microelectromechanical systems (MEMS) [3, 4, 17] and actually provides the impetus for the research performed herein. More details will be given in Section 5 below, where the shape derivative computed in Theorems 1.3 and 1.4 is used to show the existence of stationary solutions to a MEMS model. In such a problem, the geometry of the admissible shapes looks similar to the class described above and is defined as follows: Let , , be three positive parameters and set . Given a real-valued function defined on the interval and ranging in , the admissible shape consists of two subregions
[TABLE]
and
[TABLE]
which are separated by the interface
[TABLE]
see Figure 1.1; that is,
[TABLE]
Let us emphasize that we explicitly allow the graph of , defined by
[TABLE]
to intersect the interface ; that is, the coincidence set
[TABLE]
of may be non-empty, resulting in a disconnected top part with connected components – see the blue curve in Figure 1.1. If is empty – see the green curve in Figure 1.1 – then
[TABLE]
The dielectric properties of and being different with a jump discontinuity at the interface , the potential under consideration in this paper is defined as the variational solution to the transmission problem
[TABLE]
where denotes the jump across . Here and in the following, with , is a positive constant (with ), and is a given function defining the boundary values of on . The associated Dirichlet energy is
[TABLE]
The main contribution of the present research is the computation of the shape derivative of with respect to in an appropriate functional setting. Several steps are needed to achieve this goal. According to the discussion above, the first step is to derive sufficient regularity on , keeping in mind that depends on not only through , but also through . An appropriate functional setting for turns out to be the set
[TABLE]
Let us already point out that if and only if
[TABLE]
The variational setting for the potential is then
[TABLE]
where the boundary values are defined by
[TABLE]
the given function satisfying (2.2) below. The well-posedness of (1.7) is provided by the following result.
Theorem 1.1**.**
Let the function satisfy (2.2) below.
- (a)
For each , there is a unique variational solution to (1.7). Moreover, and , and is a strong solution to the transmission problem (1.7) satisfying .
- (b)
Given , there is such that, for all satisfying ,
[TABLE]
Proof.
This follows from Proposition 3.1 and Corollary 3.14. ∎
While the existence and uniqueness of as a variational solution to (1.7) are straightforward consequences of Lax-Milgram’s theorem, the -regularity is more involved, in particular when the coincidence set is non-empty. In that case, is not connected and has a non-Lipschitz boundary due to turning points with . The first issue is then to have a meaningful definition of the trace on the boundary of . This is possible here, thanks to the specific geometry of which is enclosed by the graphs of two Lipschitz continuous functions, a feature which has already been noticed in the literature, see [1, 19] for instance. Once the issue of traces is settled, we still face the difficulty that satisfies the transmission conditions (1.7b) on but is subject to the Dirichlet boundary conditions on .
We shall thus begin with the simplest situation, where the coincidence set is empty – see the green curve in Figure 1.1. For smooth functions , the piecewise -regularity of solutions to the transmission problem (1.7) is known [18]. The strategy to extend it to arbitrary functions in requires to overcome the above mentioned difficulties and includes two steps: on the one hand, we derive quantitative estimates on in and for , which depend, neither on the -norm of , nor on the positivity of , as stated in Theorem 1.1 (b). On the other hand, we show that is a continuous map from to when is endowed with the topology of , the proof relying on the -convergence of the functionals associated with the variational formulation defining . Combining these two results leads us to Theorem 1.1.
Remark 1.2**.**
As already pointed out, for , the connected components of are not Lipschitz domains, as they feature at least one cuspidal point with . Thus, the -regularity of does not guarantee a priori well-defined traces on the boundary of such connected components for and . Nevertheless, these traces are here well-defined, owing to the -regularity of both and , recalling that as a whole is obviously a Lipschitz domain, see Theorem 1.1 (a). Note that no such issue arises in the rectangle .
Next, due to the regularity properties of provided by Theorem 1.1, we can compute the shape derivative of the Dirichlet energy with respect to in a classical way [12, 22].
Theorem 1.3**.**
Let the function satisfy (2.2) below and consider . Introducing
[TABLE]
and endowing with the -topology, the Dirichlet energy defined in (1.8) is continuously Fréchet differentiable with
[TABLE]
for and , where is defined in Theorem 1.1,
[TABLE]
and
[TABLE]
for .
Proof.
This follows from Proposition 3.17 and Proposition 4.2. ∎
The proof of Theorem 1.3 is performed along the lines of the proof of [12, Theorem 5.3.2] and relies on the following observation: for , there is a neighborhood of in such that, for any , there is a bi-Lipschitz transformation mapping onto . Such a transformation then allows us to convert for each to an integral over and investigate the behavior of the difference as .
The just outlined approach obviously fails for , since the coincidence set is non-empty. Indeed, in that case, it does not seem to be possible to find a bi-Lipschitz transformation mapping onto , unless their coincidence sets are equal, , an assumption which is far too restrictive. We instead use an approximation argument and show that the Dirichlet energy admits directional derivatives in the directions , as stated in the next result.
Theorem 1.4**.**
Let the function satisfy (2.2) below and consider . Introducing
[TABLE]
then, for ,
[TABLE]
the notation being the same as in Theorem 1.3. Moreover, the function is continuous for each , the set being endowed with the topology of .
Proof.
This follows from Proposition 3.17 and Corollary 4.3. ∎
Observe that, for , the formula for in Theorem 1.4 matches that of in Theorem 1.3, since is empty in that case. The proof of Theorem 1.4 relies on Theorem 1.3, using the fact that for when and . The main step is actually the computation of for . To this end, we consider a bounded sequence in converging to in and identify the limit of as . Of importance here are the uniform -estimates on proved in Theorem 1.1 (b).
We end the introduction with a description of the contents of the subsequent sections.
In Section 2 we provide the precise assumptions on the function defining the boundary conditions (1.7c) of the potential , see (2.2) and (2.3).
The derivation of the -estimates stated in Theorem 1.1 (b) is next performed in Section 3. We begin Section 3 by recalling the well-posedness of the variational formulation associated with the transmission problem (1.7) and -regularity properties of when . For such we derive in Section 3.1 quantitative estimates on in and . To this end, we further develop the approach from [14] and heavily use the property that can be mapped in a bi-Lipschitz way onto the rectangle when . To extend the validity of the -estimates to all , special attention is paid to the dependence of the various constants arising in the estimates derived for , including that involved in Sobolev embeddings. We show in particular that the estimates depend, neither on the -regularity of , nor on the positivity of . For the extension to , we employ then an approximation argument, relying on the density of in . Specifically, given , we consider a sequence in , which is bounded in and converges to in . A -convergence argument provided in Section 3.2 then implies that converges to in . Combining the outcome of Sections 3.1 and 3.2 allows us to complete the proof of Theorem 1.1 in Section 3.3. Finally, in preparation of the proof of Theorem 1.4, we identify in Section 3.4 the behavior of the vertical derivative , , as for a sequence in converging to in the norm of . Since the coincidence set of may be non-empty and possibly includes countably many connected components, this step requires some care for the analysis in , while a different argument is needed in .
In Section 4, we turn to the study of the differentiability of the Dirichlet energy , see (1.8), with respect to . In this regard, we first establish the Fréchet differentiability of on , the proof following closely [12]. We thus obtain the Fréchet derivative for in the form given in Theorem 1.3. We then consider and combine the outcome of Theorem 1.3 and Section 3.4 to prove Theorem 1.4.
Finally, Section 5 is devoted to an application of Theorems 1.3 and 1.4 to identify the Euler-Lagrange equation satisfied by the minimizers of a functional arising in the modeling of microelectromechanical systems.
2. Notations and Conventions
Given a subset of with Lipschitz boundary, we let denote the space of functions in vanishing on the boundary (in the sense of traces) and denote its dual space by .
Recall that
[TABLE]
so that its -closure is introduced above. Given and a pair of real-valued functions with defined on and defined on , we put
[TABLE]
and let
[TABLE]
denote the jump across the interface (if meaningful). Recall that the coincidence set is defined in (1.6). In particular, we set
[TABLE]
Conversely, if is defined in , then we denote the corresponding restrictions by and .
For further use we set
[TABLE]
As described in the introduction, for , the values of the potential on the boundary are given by a function . For technical reasons we assume that is not only defined on but also has an extension to . More precisely, we fix -functions
[TABLE]
For a given function we then define
[TABLE]
[TABLE]
Consequently, by (2.4),
[TABLE]
3. The Potential
Given we recall the set of admissible potentials
[TABLE]
and define the functional
[TABLE]
The potential corresponding to and solving the transmission problem (1.7) is then the minimizer of the functional on the set ; that is,
[TABLE]
We first prove Theorem 1.1 for ; that is, for smooth with empty coincidence set .
Proposition 3.1**.**
(a)* For each there is a unique minimizer of on .*
(b)* If , then satisfies the transmission problem*
[TABLE]
Proof.
(a) Let . The existence and uniqueness of a minimizer of on the set follow at once from the Lax-Milgram theorem, the positive lower bound (2.1) on , Poincaré’s inequality, the convexity of , and the property due to (2.5).
(b) Next, the minimizing property of entails that for each and . By definition of , this readily gives
[TABLE]
Now, if , then [18, Theorem III.4.6] ensures the existence of a unique solution to the transmission problem (3.2). Clearly, satisfies (3.3), thus .
(c) It follows from the regularity of , Proposition 3.1 (b), and (3.2b) that
[TABLE]
with zero jump across the interface; that is, on . This implies . ∎
We shall later prove that Proposition 3.1 (b) extends to all . To this end, we need to give a meaning to the transmission condition (3.2b) when and the boundary of is not Lipschitz, see Corollary 3.14. We also note the following -estimate for .
Lemma 3.2**.**
Given ,
[TABLE]
Proof.
This follows from and the minimizing property of stated in Proposition 3.1 (a). ∎
For our purpose we need, besides the extension of Proposition 3.1 (b) to all , precise information on the dependence of on . Such information is, unfortunately, not included in the approach of [18].
3.1. Uniform Estimates on the Potential
For we denote the unique minimizer of on by , with
[TABLE]
as provided by Proposition 3.1. In that case, the coincidence of , defined in (1.6), is empty, so that , see Figure 3.1. We next define
[TABLE]
suppressing in the following the dependence of on the fixed for ease of notation. Recalling (2.4), we obtain from Proposition 3.1 that satisfies the transmission problem
[TABLE]
Our aim is now to derive an estimate for in the norm of , which only depends on but, neither on the norm of in , nor on the value of . This then allows us to extend Proposition 3.1 (b) to all .
Analogously to Proposition 3.1 (c), an immediate consequence of (3.4) and (3.5b) is the -regularity of .
Lemma 3.3**.**
Let and . Then and
[TABLE]
for some constant independent of .
To derive an -estimate on (more precisely, on and on ) we transform (3.5) to a transmission problem on a rectangle. To keep a flat interface between the two subregions, we transform to the rectangle and to the rectangle . More precisely, we introduce the transformation
[TABLE]
mapping onto the rectangle , and the transformation
[TABLE]
mapping onto the fixed rectangle . Then
[TABLE]
is the interface separating and . We set
[TABLE]
and let denote the new variables in , i.e. in and in . We also introduce
[TABLE]
[TABLE]
and
[TABLE]
We will make use of this regularity often in the following without mention. In particular, as vanishes on (and is smooth enough),
[TABLE]
We begin with an identity for , which is based on [11, Lemma 4.3.1.2] and fundamental for the forthcoming analysis.
Lemma 3.4**.**
Given and with the above notation,
[TABLE]
Proof.
We adapt the proof of [18, Lemma II.2.2]. Since on by (3.9), we get
[TABLE]
Then (3.11) along with (3.8) imply that
[TABLE]
while (3.9) along with (3.8) imply that
[TABLE]
Consequently, the regularity of together with (3.9), (3.10), and (3.11) allow us to apply [11, Lemma 4.3.1.2, Lemma 4.3.1.3] from which we deduce that
[TABLE]
as claimed. ∎
Based on the previous lemma we derive the following identity, which subsequently leads to the desired -estimates on .
Lemma 3.5**.**
Let . Then, for ,
[TABLE]
Proof.
Let us first emphasize that the regularity of stated in (3.8) ensures the validity of the subsequent computations. Using the transformations and introduced above (and the fact that is constant) we get
[TABLE]
We next combine the integral on and the integral on stemming from the first term in the square brackets to get
[TABLE]
where we have used Lemma 3.4 to obtain the second identity. Splitting again the integral on into integrals on and and gathering the above computations give
[TABLE]
To handle we first consider the third integral involving the square brackets. We integrate by parts its first term with respect to and its second term with respect to . Using (3.10) to get rid of the corresponding boundary terms and noticing that the resulting terms involving cancel, this yields
[TABLE]
Consequently,
[TABLE]
that is, using the transformation to write the integral in terms of ,
[TABLE]
We next turn to and gather some of the terms to get
[TABLE]
We then focus on the last term of this identity. Integrating first in and then by parts in , using again (3.10) to cancel the corresponding boundary terms, yields
[TABLE]
Hence, gathering the previous two identities and noticing the cancellation of terms entail
[TABLE]
Since
[TABLE]
we use to transform back to and find
[TABLE]
Plugging (3.13)-(3.14) into (3.12) and recalling that is constant, the assertion readily follows. ∎
The right-hand side of the identity of Lemma 3.5 involves “bulk” terms in and a contribution on the interface and the top part , see (1.5), which all require to be handled differently in order to derive the desired -estimates on . We begin with the first interface integral on and observe:
Lemma 3.6**.**
Given there is such that, for and ,
[TABLE]
Proof.
By complex interpolation, , which guarantees
[TABLE]
Since the trace operator is continuous from to , see [11, Theorem 1.5.1.2], we deduce from (2.1) that
[TABLE]
as claimed. ∎
Let us point out that the transformation introduced in (3.6)-(3.7) and used in the proof of Lemma 3.5 features a singularity as approaches , a property which prevents its use for . To circumvent this drawback, we shall introduce a different transformation which maps as a whole onto a fixed rectangle, but does not preserve the flatness of the interface between the two subregions and (see (3.17) below). As we shall see, such a transformation allows us to derive functional inequalities for all depending only on the -norm of . This mild dependence turns out to be of utmost importance for the forthcoming analysis.
Lemma 3.7**.**
Given and , there is such that, for with ,
[TABLE]
Moreover, given , there is such that, for with ,
[TABLE]
Proof.
We use the transformation
[TABLE]
to map onto the rectangle . Given , we define so that
[TABLE]
for . It easily follows from the previous formulas, the continuous embedding of in , and the assumed bound on that
[TABLE]
On the one hand, (3.15) now readily follows from (3.18), (3.20) and the continuous embedding of in for all . On the other hand, the continuity of the trace as a mapping from to , see [11, Theorem 1.5.1.2], and (3.18) ensure that
[TABLE]
Finally, let . By complex interpolation,
[TABLE]
so that
[TABLE]
Since , the trace maps continuously to and we thus deduce that
[TABLE]
the last inequality stemming from (3.18) and (3.19). ∎
As for the boundary integral over on the right-hand side of the identity of Lemma 3.5 we note:
Lemma 3.8**.**
Given and , there is such that, for with and ,
[TABLE]
Proof.
By the Cauchy-Schwarz inequality,
[TABLE]
and it remains to estimate the term involving . To this end, since belongs to by Lemma 3.3, we can use the functional inequality (3.16) (with ), (2.1), and the continuous embedding of in to obtain
[TABLE]
as claimed. ∎
We are now in a position to derive the desired estimate on .
Proposition 3.9**.**
Given , there is a constant such that
[TABLE]
whenever with .
Proof.
Since in by (3.5a), it follows from Lemma 3.5 that
[TABLE]
We next use (2.1) and the Cauchy-Schwarz inequality for the integrals on on the right-hand side. Incorporating the resulting terms involving second order derivatives of on the left-hand side and recalling Lemma 3.6 and Lemma 3.8, we deduce
[TABLE]
for some fixed . We now aim at controlling the last two terms of the right-hand side by the term on the left-hand side. For the first term we obtain from (2.1) and (3.5a)
[TABLE]
By Young’s inequality and (2.1), we obtain for
[TABLE]
We use once more (2.1) and choose
[TABLE]
to obtain
[TABLE]
Finally, since for , a generalized Poincaré’s inequality (see [23, II.Section 1.4]) and (2.1) entail that
[TABLE]
so that
[TABLE]
Similarly, for , it follows from (2.1) and Young’s inequality that
[TABLE]
Choosing and using once more (2.1), we end up with
[TABLE]
Taking (3.23)-(3.24) into account, we derive from (3.22) that
[TABLE]
We then use again the identity
[TABLE]
stemming from (3.5a) along with Lemma 3.2 (recalling ) and (2.1) to derive
[TABLE]
Finally, since for and , it follows from the assumed bound on and the continuous embedding of in that
[TABLE]
Consequently, the right-hand side of (3.25) is bounded by and the estimate (3.21a) follows from (3.25) and Lemma 3.2. Arguing as in the proof of Lemma 3.3, we also deduce from (2.4) and (3.26) that
[TABLE]
while Lemma 3.3 and (3.21a) imply that
[TABLE]
Recalling that , these properties and (3.21a) readily give (3.21b). ∎
3.2. -Convergence of the Dirichlet Energy
We next aim at extending Proposition 3.1 (b) to all , such as the one depicted in Figure 3.2.
For that purpose we show the -convergence in of the functional , defined in (3.1), with respect to . More precisely, fix and set
[TABLE]
For define
[TABLE]
Consider now and a sequence in such that
[TABLE]
Owing to the continuous embedding of in , a direct consequence of (3.27) is that
[TABLE]
Let us first observe that, according to (2.3) and (2.4), both and belong to . Moreover:
Lemma 3.10**.**
Suppose (3.27). Then in and
[TABLE]
Proof.
Recall that for , so that
[TABLE]
hence . Owing to (3.28) and the regularity of we obtain
[TABLE]
Together with (3.27), this implies in . In particular, in . Since is bounded and pointwise, the last property stated in Lemma 3.10 now follows from [9, Proposition 2.61]. ∎
Next, we show that the functional is the -limit of the sequence .
Proposition 3.11**.**
Suppose (3.27). Then
[TABLE]
Proof.
Step 1. We begin with the asymptotic lower semicontinuity. Considering an arbitrary sequence in and such that
[TABLE]
we have to show that
[TABLE]
We may assume that for all and that is bounded, since (3.30) is clearly satisfied otherwise. In that case, if denotes the extension of by zero in , then it follows from (2.1) and Lemma 3.10 that is bounded in and thus
[TABLE]
Introducing and noticing that
[TABLE]
we infer from (3.28), (3.29), and Lebesgue’s theorem that the right-hand side of the above inequality converges to zero as . Consequently, converges to in , which implies, together with (3.31), that and
[TABLE]
In particular, using Lemma 3.10 and the continuity of the trace,
[TABLE]
It remains to check that for which we only have to show that vanishes (in the sense of traces) on the upper part of the boundary , since vanishes on the other boundary parts of . Since , it follows from Hölder’s inequality that
[TABLE]
for almost every . Thus, by (2.1),
[TABLE]
Since is bounded and in by (3.28), the right-hand side of the above inequality converges to zero. Hence, due to (3.33) and in , we conclude that indeed on . Therefore, . Now, by (3.32) and Lemma 3.10,
[TABLE]
so that
[TABLE]
Since ,
[TABLE]
and we thus deduce from Lemma 3.10
[TABLE]
the last equality being due to . Combining (3.34) and (3.35) implies (3.30).
Step 2. We prove the existence of a recovery sequence. By definition of the functional we only need to consider . Then and can be considered also as an element of by restriction. Let now denote the unique weak solution to
[TABLE]
Since the Hausdorff distance in (see [12, Section 2.2.3]) satisfies
[TABLE]
by (3.28) and since has a single connected component for all as , it follows from [24, Theorem 4.1] and [12, Theorem 3.2.5] that in , where is the unique weak solution to
[TABLE]
Clearly, by uniqueness, so that in . Since and , this convergence yields, with the help of Lemma 3.10,
[TABLE]
that is,
[TABLE]
Combining the outcome of Step 1 and Step 2 implies the -convergence of to in . ∎
For the Dirichlet energy (1.8), which is given by
[TABLE]
with denoting the potential from Proposition 3.1, we now obtain:
Corollary 3.12**.**
Suppose (3.27). Then
[TABLE]
and
[TABLE]
Proof.
For , set
[TABLE]
and recall that is a minimizer of in by Proposition 3.1 (a). Since is bounded in , it follows from (2.1), Lemma 3.2, and Lemma 3.10 that is bounded in . Hence, there are a subsequence and such that in and in . By Proposition 3.11 and the fundamental theorem of -convergence, see [7, Corollary 7.20], is a minimizer of the functional on . Clearly, from the definition of we see that minimizes the functional on , hence owing to Proposition 3.1 (a). The sequence then has a unique cluster point in and is compact in that space and weakly compact in . From this, we deduce that in and in . Moreover, the fundamental theorem of -convergence [7, Corollary 7.20] also ensures ; that is, as .
It remains to show the strong convergence of in . To this end, we infer from the convergence of to and Lemma 3.10 that
[TABLE]
Together with the already established weak convergence of to in , this gives the strong convergence. ∎
3.3. -Estimate for the Potential
Owing to the -estimates on derived in Proposition 3.9, we are able to improve Corollary 3.12 to stronger topologies.
Proposition 3.13**.**
Consider , , and a sequence satisfying
[TABLE]
and
[TABLE]
Then satisfies and
[TABLE]
and
[TABLE]
for any open set such that is a compact subset of .
Proof.
It first follows from (3.36), (3.37), and the continuous embedding of in that there is such that (3.27) is satisfied. Thus, by Corollary 3.12,
[TABLE]
Next, owing to (3.36), we infer from (3.21b) that
[TABLE]
Now, (3.40), (3.41), and Lemma 3.10 ensure that and in . Similarly, for any open set such that is a compact subset of , we infer from (3.37) and the continuous embedding of in that for large enough. Thus, (3.40), (3.41), and Lemma 3.10 imply that and in . In particular, the latter along with (3.41) gives
[TABLE]
We then use Fatou’s lemma to conclude that belongs to for ; that is, . Finally, we deduce the estimate (3.38) from (3.39) and (3.41) by a weak lower semicontinuity argument. ∎
Combining Corollary 3.12 and Proposition 3.13 allows us now to extend the validity of Proposition 3.1 (b) to all . Recall that, for , is a well-defined open, but disconnected, set in with a non-Lipschitz boundary, see Figures 3.1 and 3.2 and Remark 1.2.
Corollary 3.14**.**
Let and let be the unique minimizer of on provided by Proposition 3.1. Then with satisfies the transmission problem
[TABLE]
Moreover,
[TABLE]
provided .
Proof.
Let be fixed and such that . We may choose a sequence in satisfying
[TABLE]
In particular, (3.36)-(3.37) are satisfied, so that Proposition 3.13 implies that belongs to and satisfies the estimate (3.43).
Regarding the transmission problem (3.42), recall first that satisfies (3.3). Since , we can write the open set as a countable union of open intervals , see [2, IX.Proposition 1.8].
Let and set
[TABLE]
and . It readily follows from (3.3) and the fact that belongs to that in and in each , hence (3.42a). Moreover, for all it follows from (3.3) and Gauß’ theorem that
[TABLE]
hence a.e. in . Therefore, (3.42b) holds, which in particular implies, together with the piecewise -regularity of , that . Finally, since we have on , while (3.42c) is due to . ∎
Thanks to Corollary 3.14 we can extend the convergence established in Proposition 3.13 to an arbitrary sequence in .
Corollary 3.15**.**
Consider , , and a sequence satisfying
[TABLE]
and (3.37). Then the convergence (3.39) holds true.
Proof.
The additional assumption is only used in the proof of Proposition 3.13 to obtain the bound (3.41). Since such an estimate is now guaranteed by Corollary 3.14 as for all , the proof of Corollary 3.15 follows the same lines as that of Proposition 3.13. ∎
The next step is to identify the limit of as within the framework of Proposition 3.13, which requires the following preparatory lemma.
Lemma 3.16**.**
Let , , and such that . Then there exists such that
[TABLE]
the coincidence set of being defined in (1.6).
Proof.
As in Corollary 3.14, since , we can write the open set as a countable union of open intervals and define, for ,
[TABLE]
and . As has finite measure, we may assume that . Let . Since by Corollary 3.14, it follows from (3.42b) and Young’s inequality that, for ,
[TABLE]
Integrating with respect to , we find
[TABLE]
Summing over all we obtain
[TABLE]
and then infer from (2.1) and (3.43) that
[TABLE]
On the one hand, belongs to and the continuity of the trace from to combined with the continuous embedding of in and (3.43) imply that
[TABLE]
On the other hand, belongs to and it follows from Lemma 3.7 (with ) and (3.43) that
[TABLE]
Combining (3.44)-(3.46) completes the proof. ∎
3.4. Limit Behavior of the Trace of the Vertical Derivative
To derive the continuity property of the function stated in Theorem 1.4, we shall next investigate the continuity with respect to of the potential’s vertical derivative traced along the graph . Recall that along consists of the two parts
[TABLE]
and
[TABLE]
and that the transition between and across the interface is prescribed by the transmission condition (3.42b) involving .
Proposition 3.17**.**
Consider , , and a sequence in satisfying
[TABLE]
Then
[TABLE]
for , where is given by
[TABLE]
Proof.
We first observe that the trace theorem, (2.1), and the -regularity of provided by Corollary 3.14 imply that belongs to for any . We deduce from this fact and Lemma 3.16 that for . Also, it follows from (3.47) that .
Let be arbitrarily fixed. Due to in and the embedding of in , there is such that
[TABLE]
Moreover, since with , the set
[TABLE]
is non-empty and open, and we can thus write it as a countable union of open intervals , see [2, IX.Proposition 1.8]. For any fixed index define the open set
[TABLE]
and note that has a Lipschitz boundary, with for by (3.49). Thanks to (3.41), is relatively compact in for any , so that (3.39) implies in . Using the continuity of the trace operator from to and noticing the inclusion , we deduce
[TABLE]
Next, we put
[TABLE]
and observe that, for and ,
[TABLE]
Using (3.49) and the inequality , we infer that, for ,
[TABLE]
Now, if is any finite subset of , it follows from (3.43) (applied to and ) and the previous inequality that, for ,
[TABLE]
Letting and recalling (3.50) and the finiteness of we get
[TABLE]
Next, let . Since
[TABLE]
there is a finite subset such that
[TABLE]
Hence, setting , we get
[TABLE]
Since
[TABLE]
by (3.49), we deduce from (3.52), Lemma 3.16 (with ), and the previous inequality that
[TABLE]
Owing to the finiteness of , we may let in the previous inequality with the help of (3.51) and obtain that
[TABLE]
Now, for and , we have , so that the previous estimate (with ) gives
[TABLE]
Letting and recalling the definition of yield
[TABLE]
Next, let . The transmission condition (3.42b) ensures
[TABLE]
for and , from which we derive
[TABLE]
Thanks to (3.49),
[TABLE]
so that, using (3.43),
[TABLE]
for . Furthermore, (2.1), Corollary 3.15, and the continuity of the trace on ensure that
[TABLE]
Now, recalling the definition of on ,
[TABLE]
with
[TABLE]
Hence, owing to (3.56),
[TABLE]
In addition,
[TABLE]
Using the disjoint union
[TABLE]
and recalling (3.49) and the definition of , we obtain that, for ,
[TABLE]
It then follows from (3.54)-(3.58) that
[TABLE]
At this point, we observe that
[TABLE]
so that, since both and belong to ,
[TABLE]
We then take the limit in (3.59) to conclude that
[TABLE]
Finally, is bounded in for any by the trace theorem for , (2.1), the -estimate (3.43) on , and Lemma 3.16. Combining this bound with the previous convergence implies the convergence in for as stated in (3.48). ∎
Remark 3.18**.**
The proofs of Proposition 3.12 and Proposition 3.17 greatly simplify when the sequence decreases monotically to . Indeed, in that case, for all and, for instance, it is possible to use in the computations, since it is well-defined.
4. Shape Derivative of the Dirichlet Energy
In order to compute the shape derivative of the Dirichlet energy defined in (1.8), the first step is to investigate the differentiability properties of with respect to .
Lemma 4.1**.**
Let be fixed and define, for , the transformation
[TABLE]
by
[TABLE]
Then there exists a neighborhood of in such that
[TABLE]
is continuously differentiable, where and is endowed with the -topology.
Proof.
We follow the lines of the proof of [12, Theorem 5.3.2]. Recall that satisfies the integral identity
[TABLE]
which we next shall write as integrals over . To this end, we first note that
[TABLE]
where and
[TABLE]
For we have
[TABLE]
with
[TABLE]
Performing the change of variables in (4.2) with gives
[TABLE]
where we used due to and , and where is
[TABLE]
Introducing the notations
[TABLE]
and
[TABLE]
we define the function
[TABLE]
and observe that (4.3) is equivalent to
[TABLE]
We then shall use the implicit function theorem to derive that depends smoothly on . For that purpose, let us first show that is Fréchet differentiable in . Indeed, define by
[TABLE]
for , and note that
[TABLE]
Since is -smooth, we clearly have
[TABLE]
so that, thanks to the continuous embedding of in , we readily obtain that
[TABLE]
Since , a similar argument ensures that
[TABLE]
and therefore
[TABLE]
Moreover, and are continuously differentiable from to and , respectively, and we conclude that
[TABLE]
is continuously differentiable from to , hence . The -smoothness of is proved as in [12, Theorem 5.3.2] and we have indeed established
[TABLE]
By the Lax-Milgram theorem, the mapping is bijective from to and thus an isomorphism due to the open mapping theorem. Consequently, the implicit function theorem ensures the existence of a neighborhood of in and a function such that and for . By Corollary 3.12, for sufficiently small and consequently for by the uniqueness provided by the implicit function theorem. ∎
As a consequence of Lemma 4.1, we are now in a position to investigate differentiability properties of the Dirichlet energy
[TABLE]
with respect to . We begin with the case . At such functions, the Dirichlet energy is Fréchet differentiable as shown next.
Proposition 4.2**.**
Let be endowed with the -topology. Then the Dirichlet energy is continuously Fréchet differentiable with
[TABLE]
for and .
Proof.
We use the notation from Lemma 4.1. Let be fixed and recall that, with the transformation as in (4.1), the mapping is differentiable with respect to in a neighborhood of in and takes values in . Now, using and the change of variable in the integral defining , we have
[TABLE]
for . Therefore, introducing
[TABLE]
and recalling that , , is in all its arguments, we deduce that the Fréchet derivative of at applied to is
[TABLE]
Taking the identity into account, we infer from (4.4) that
[TABLE]
We next use that is the identity on and that to compute from the definition of that
[TABLE]
On the one hand, since is independent of and , we readily obtain in that
[TABLE]
where . On the other hand, in we have
[TABLE]
and
[TABLE]
Moreover,
[TABLE]
Consequently, gathering (4.6)-(4.11), we derive
[TABLE]
and it remains to simplify the four integrals above. As for the first one we use (3.42a), (3.42b), and Gauß’ theorem to get
[TABLE]
First note that the integral on vanishes. Indeed, since for and , we have on by (2.4) and (3.42b), hence on . Similarly on owing to (2.2c). Next, since \partial_{v}\xi_{v}[\vartheta]\big{|}_{v=u} belongs to according to Proposition 4.1, it vanishes on the boundary . Moreover, since , the term vanishes on the lateral parts of , hence
[TABLE]
Moreover, since
[TABLE]
we can write the second and the third integral in (4.12) as
[TABLE]
For the first integral on the right-hand side of (4.14) we use (3.42a) and Gauss’ theorem and readily obtain, noticing that vanishes on all parts of the boundary except on and using (4.13), that
[TABLE]
The second integral on the right-hand side of (4.14) is written in the alternative form
[TABLE]
We then integrate with respect to to obtain
[TABLE]
Consequently, substituting (4.14)-(4.16) in (4.12), we conclude that
[TABLE]
It remains to rewrite the first two integrals on . For that purpose, it follows from (3.42c) that
[TABLE]
from which we deduce that
[TABLE]
Using the above identity, it is easy to check that
[TABLE]
so that we end up with
[TABLE]
as claimed. It finally follows from Proposition 3.13, Corollary 3.15, Proposition 3.17, the continuity of the trace from to , and the -regularity on and that is continuous. ∎
We finish off this section by considering the differentiability properties of the Dirichlet energy at a function . As pointed out in Theorem 1.4, allowing also for non-empty coincidence sets restricts to directional derivatives in the directions . Given , let us recall that the function is given by
[TABLE]
Corollary 4.3**.**
Let and . Then
[TABLE]
Moreover, the function is continuous for each .
Proof.
Given and , note that
[TABLE]
Let denote the solution to (3.42) associated with and set . Since for , we obtain from Proposition 4.2 that
[TABLE]
for . Therefore, letting we derive with the help of Proposition 3.17, the -regularity of and , and (3.39) that
[TABLE]
Now, Corollary 3.12 guarantees that as , so that
[TABLE]
and we conclude from (4.18) that
[TABLE]
Recalling that , the proof of Corollary 4.3 is complete, except for the continuity of the function for . However, this follows from Corollary 3.15, Proposition 3.17, the continuity of the trace from to for , and the -regularity of and . ∎
5. Least Energy Solution for a Stationary MEMS Model
We illustrate our findings on the shape derivative of the Dirichlet energy (1.8) with the existence of solutions to an elliptic variational inequality arising in the modeling of micromechanical systems (MEMS) [20, 21]. Specifically, we consider an idealized MEMS device consisting of two plates held at different electrostatic potentials: a thin elastic plate is clamped at its boundary and suspended above a rigid ground plate, the latter being covered by a non-penetrable dielectric layer of thickness [4]. Due to the potential difference between the two plates, a Coulomb force is created across the device, inducing a deformation of the elastic plate, thereby converting electrostatic energy to mechanical energy while changing the geometry of the device. Considering a cross section of the device, the rigid plate and the dielectric layer are given by with and
[TABLE]
respectively. Denoting the deflection of the elastic plate by , the elastic plate is the graph
[TABLE]
of , the latter satisfying the clamped boundary conditions
[TABLE]
The space between the dielectric layer and the elastic plate is
[TABLE]
and and are separated by the interface
[TABLE]
We finally set
[TABLE]
so that the geometry of the MEMS device is exactly that considered in the previous sections. The dielectric properties of the device are given by the permittivity of the dielectric layer , which is assumed to be a positive function , and the permittivity of , which is taken to be a positive constant . Moreover, the two plates are held at constant potentials, being respectively taken to be zero on the rigid plate and equal to a positive constant on the elastic plate . The electrostatic potential in the device then solves the transmission problem (1.7); that is,
[TABLE]
the corresponding boundary conditions being prescribed by a function satisfying (2.2)-(2.3), as well as
[TABLE]
Equilibrium configurations of the MEMS device, if any, are then provided by critical points of the total energy in , and in particular by minimizers when they exist. A minimal requirement in that direction is the boundedness from below of on , for which the following additional assumptions on are sufficient: there are constants , , such that
[TABLE]
for and
[TABLE]
for .
Within this framework, Theorem 1.1 allows us to prove the existence of at least one minimal energy solution.
Theorem 5.1**.**
Assume that satisfies (2.2)-(2.3) and (5.2) and set
[TABLE]
If
[TABLE]
then the total energy has at least one minimizer in ; that is,
[TABLE]
It is yet unknown whether there is more than one equilibrium configuration or whether the minimizer provided by Theorem 5.1 has empty or non-empty coincidence set (defined in (1.6)). Even in much simpler situations as considered in [15], where the electrostatic potential is an explicitly computable function depending in a local way on , the answer is rather complex. Indeed, minimizers may have empty or non-empty coincidence sets and may coexist with other critical points of , depending on the boundary values of the electrostatic potential. We expect the same complexity in the model considered herein.
Remark 5.2**.**
Condition (5.3) is obviously satisfied if , which amounts to assuming that the applied voltage is sufficiently small compared to the dimensions of the device, see Example 5.5 below.
Next, thanks to the analysis carried out in the previous sections, we can characterize any solution to (5.4) by means of a variational inequality. To this end, for , we define the function by
[TABLE]
Actually, is nothing but the function defined in Theorems 1.3 and 1.4, taking into account the property
[TABLE]
for , which is easily derived from (5.2a). In particular, is continuous and represents the electrostatic force acting on the elastic plate .
Theorem 5.3**.**
Assume that satisfies (2.2)-(2.3) and (5.2a) and that there is a solution to the minimization problem (5.4). Then and is an -weak solution to the variational inequality
[TABLE]
where is the subdifferential of the indicator function of the closed convex subset of ; that is,
[TABLE]
for all .
A minimizer of in being a critical point of and satisfying the convex constraint , the variational inequality (5.7) is simply the corresponding Euler-Lagrange equation: it involves the derivative of the mechanical energy with respect to , the subdifferential of the convex constraint, and the “differential” of the electrostatic energy with respect to , in the sense of Theorems 1.3 and 1.4.
Remark 5.4**.**
Theorems 5.1 and 5.3 are also valid with instead of , the only difference being that the minimizers of in in Theorem 5.3 now satisfy (5.7) subject to the Navier or pinned boundary conditions instead of the clamped boundary conditions (5.1).
Before providing the proofs of Theorem 5.1 and Theorem 5.3, let us give an example of a function describing the boundary conditions (1.7c) for the electrostatic potential.
Example 5.5**.**
Let us consider the situation where does not depend on the vertical variable ; that is, . In that case, we set
[TABLE]
and
[TABLE]
Then assumptions (2.2)-(2.3) and (5.2) are easily checked. Moreover, if is sufficiently small, then defined in Theorem 5.1 is positive, hence (5.3) holds in that case.
5.1. Existence of a Minimizer
Given we recall that is the unique solution to the transmission problem (1.7) provided by Theorem 1.1.
Proof of Theorem 5.1.
We first note that the total energy is bounded from below and coercive. To this end, we recall the Poincaré and Poincaré-Wirtinger inequalities
[TABLE]
which are valid for all . Let . It follows from (5.2b), (5.2c), Lemma 3.2, and Young’s inequality that
[TABLE]
Using (5.8) we get
[TABLE]
Therefore,
[TABLE]
Now, if , then Young’s inequality and (5.9) give
[TABLE]
for some constant independent of . If , then we infer from (5.3) with , (5.8), and (5.9) that and
[TABLE]
Consequently, is coercive when (5.3) is satisfied.
Now, take a minimizing sequence of in . Then
[TABLE]
and the just established coercivity of guarantees that is bounded in . We thus may assume that converges weakly towards some in and strongly in for . Obviously and
[TABLE]
Moreover, since is continuously embedded in , we may invoke Corollary 3.12 to obtain that
[TABLE]
Consequently, minimizes on and the proof of Theorem 5.1 is complete. ∎
5.2. Euler-Lagrange Equation
We finally prove Theorem 5.3 which requires deriving the Euler-Lagrange equation satisfied by any minimizer of on . We first observe that the additional assumption (5.2a) simplifies the directional derivative with respect to of the electrostatic energy , which is given in Theorems 1.3 and 1.4.
Proposition 5.6**.**
Let and . Then
[TABLE]
Proof.
As already mentioned, we infer from (5.6) that . Therefore, since by (1.8), we deduce from Theorems 1.3 and 1.4 that
[TABLE]
Now observe that the first identity of (5.2a) implies
[TABLE]
so that the last integral on the right-hand side of (5.10) vanishes. Moreover, the second identity of (5.2a) yields
[TABLE]
which, together with (5.6), implies that the second integral on the right-hand side of (5.10) also vanishes. ∎
Proof of Theorem 5.3.
Consider a minimizer of on and fix
[TABLE]
Owing to the convexity of , the function belongs to for all and the minimizing property of guarantees that
[TABLE]
Proposition 5.6 then implies that
[TABLE]
for all . Since is dense in , this inequality also holds for any , which completes the proof of Theorem 5.3. ∎
Remark 5.7**.**
In Theorem 5.3, a salient feature of , which is given by (5.5) and coincides with the directional derivative of , is that it is non-negative, a property which is due to the uniform potentials applied on both the rigid plate and the elastic plate . When the applied potential on the elastic plate is non-constant, the formula for the directional derivative of provided by Theorems 1.3 and 1.4 involves a positive term and a negative term, and its sign is not determined a priori. A similar observation is made in [8] for a related model. In fact, if (that is, there is no dielectric layer) and if, instead of assuming (5.2a), the function is taken to be
[TABLE]
for a suitable function , then one easily recovers the model considered in [8] from Theorem 1.3.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] G. Acosta, M. G. Armentano, R. G. Durán, and A. L. Lombardi , Nonhomogeneous Neumann problem for the Poisson equation in domains with an external cusp , J. Math. Anal. Appl., 310 (2005), pp. 397–411.
- 2[2] H. Amann and J. Escher , Analysis. III , Birkhäuser Verlag, Basel, 2009.
- 3[3] V. R. Ambati, A. Asheim, J. B. van den Berg, Y. van Gennip, T. Gerasimov, A. Hlod, B. Planqué, M. van der Schans, S. van der Stelt, M. Vargas Rivera, and E. Vondenhoff , Some studies on the deformation of the membrane in an RF MEMS switch , in Proceedings of the 63rd European Study Group Mathematics with Industry, O. Bokhove, J. Hurink, G. Meinsma, C. Stolk, and M. Vellekoop, eds., CWI Syllabus, Netherlands, 1 2008, Centrum voor Wiskunde en Informatica, pp. 65–84. http://eprints.ewi
- 4[4] D. H. Bernstein and P. Guidotti , Modeling and analysis of hysteresis phenomena in electrostatic zipper actuators , in Proceedings of Modeling and Simulation of Microsystems 2001, Hilton Head Island, SC, 2001, pp. 306–309.
- 5[5] J. Che, J. Dzubiella, B. Li, and J. A. Mc Cammon , Electrostatic free energy and its variations in implicit solvent models , J. Phys. Chem. B, 112 (2008), pp. 3058–3069.
- 6[6] L.-T. Cheng, B. Li, M. White, and S. Zhou , Motion of a cylindrical dielectric boundary , SIAM J. Appl. Math., 73 (2013), pp. 594–616.
- 7[7] G. Dal Maso , An introduction to Γ Γ \Gamma -convergence , vol. 8 of Progress in Nonlinear Differential Equations and their Applications, Birkhäuser Boston, Inc., Boston, MA, 1993.
- 8[8] J. Escher, P. Gosselet, and C. Lienstromberg , A note on model reduction for microelectromechanical systems , Nonlinearity, 30 (2017), pp. 454–465.
